CUDA Engineering Expert
CUDA Engineering Expert is a current Micro1 opportunity with applicant compensation of $60 - $100/hour and explicit remote or location eligibility of Remote.
- Pay
- Firm hourly pay: $60 - $100/hour
- Location
- Remote
- Eligibility
- Remote, applicant location not specified
- Qualification difficulty
- Selective
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- Micro1
- Fit category
- General professional
- Listing/source checked
- Sep 12, 2026
- Apply link checked
- Sep 12, 2026
Application
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What this role involves
CUDA Engineering Expert is a current Micro1 opportunity with applicant compensation of $60 - $100/hour and explicit remote or location eligibility of Remote.
What you’d do
- Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.
- Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies.
- Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures.
- Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines.
- Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication.
What they’re looking for
- Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- Applicants whose experience directly matches the current CUDA Engineering Expert qualifications.
- Professionals eligible for the stated Micro1 location and remote-work conditions: Remote.
Check before applying
Reasons to pause
- You cannot meet the public role's stated location or eligibility requirements.
- You need guaranteed acceptance, hours, pay, or project duration.
Still to verify
- Review the current Micro1 job post before applying. Role type, contractor status, location, screening steps, pay text, hours, and availability can change.
- Applicant eligibility still needs checking: Remote, applicant location not specified.
What to prepare
- Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels. Advanced C++ development skills, particularly in high-performance computing environments. Hands-on experience with GLSL and WebGPU for graphics and compute shader development. Proficiency using GPU profilers (such as Nsight, Visual Profiler, or similar tools) for guided optimization. Strong analytical abilities to evaluate and reason about kernel performance across hardware generations. Excellent written and verbal communication skills—clear documentation and technical reporting are essential. Experience collaborating in remote, cross-disciplinary project settings is a plus.
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